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#machine learning Preprint Aug 2026

Generative Translation Priors: Bayesian Imaging with Cross-Modality Image Translation

This work introduces Generative Translation Priors--a Bayesian framework that transforms diffusion-based image-to-image translation models into cross-modality image priors for ill-posed imaging inverse problems, and derives two discretized GTP algorithms based on gradient and proximal likelihood guidance.

Evan Bell, Jiaming Liu, Yifan Chen et al. · 0 citations
#machine learning Preprint Aug 2026

Picard Proximal Monte Carlo for Parallel Bayesian Imaging with Score-Based Generative Priors

Bayesian imaging inverse problems often require sampling from high-dimensional posterior distributions. While recent score-based and diffusion models provide expressive Bayesian priors, their sampling procedures remain inherently sequential and computationally expensive for large-scale imaging applications. We propose...

Deliang Wei, Evan Bell, Wenhan Guo et al. · 0 citations

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